Aside

Contact


dilsherdhillon.rbind.io

Skills

Statistics

Applied Statistical Modeling
Experimental Design
Bayesian Inference

Data Science

R, Python, Stan
Version Control using git
Shiny application development
Docker containters for reproducible analysis and deploying applications

Consulting
Gathering key subject expertise from clients
Effectively communicating results to stakeholders
Trade-off between business value and

Main

Dilsher Singh Dhillon

Applied statistician with extensive expertise in statistics and data science. I use statistical modeling to characterize uncertainity and assist in optimal decision making for business problems. I’m an advocate for reproducible research and analysis enabled by the use of Rmarkdown/Jupyter notebooks and docker containers.

Disclaimer

Permanent US Resident

Education

Texas A&M University

Master’s in Statistics

College Station, TX

2015 - 2017

Summa Cum Laude

Texas A&M University

Master’s in Biotechnology

College Station, TX

2010 - 2012

Cum Laude

Panjab University

Bachelor of Engineering

Chandigarh, India

2006 - 2010

Work Experience

Shell International Exploration and Production

Statistical Consultant

Houston, TX

March 2019 - Present

  • Provide statistical consulting support to scientists and engineers in R&D
  • Support the statistical and data science needs of drilling operations in the Permian basin
  • Provide training and mentorship to new joiners and summer interns

Baylor College of Medicine

Statistician

Houston, TX

2018 - 2019

  • Provided statistical support to the TB-AIDS reduction program led by Baylor in sub-saharan Africa
  • Developed a regression model to identify risk factors associated with poor TB outcomes among subjects with HIV
  • Assisted physician researchers with bioinformatic analysis of methylation and flow cytometry analysis

MD Anderson Cancer Center

Research Investigator

Houston, TX

2013 - 2017

  • Oversee assay development of novel biomarkers and testing of in-house and commercial assays in clinical samples for validation
  • Manage the Specimen Manger database for recording subject characteristics, biospecimen banking and inventory and multicenter study inventory for the Lung Cancer Early Detection (LCED) trial